This research investigates how technology-enabled innovations can enhance language learning programs for newcomers to Canada, especially as language skills become increasingly vital for successful social and economic integration in a rapidly diversifying nation.
What is this research about?
The research aims to review and recommend improvements in Canadian language assessment frameworks, training programs, and the integration of emerging digital technologies for language learning. Key guiding questions include the effectiveness of technology in language instruction and barriers to access and outcomes.
From the report: “This report provides a comprehensive review of Canada’s language assessment frameworks, training programs, and emerging technology-enabled innovations. Our review highlights the need for stronger evaluation frameworks to measure the intended outcomes of language training programs and improve programming. As such, this report provides recommendations for the improved integration and implementation of technology in language training programs.”
What do you need to know?
Technology-enhanced innovations such as artificial intelligence, multimedia, mobile learning, online platforms, and virtual/augmented reality are advancing how newcomers learn English and French. Context is important. Canada’s population includes the highest proportion of immigrants among G7 countries, and demand for effective language training outpaces supply, with uneven access and outcomes.
Programs like Language Instruction for Newcomers to Canada (LINC) and Cours de langue pour les immigrants au Canada (CLIC) adhere to federally-backed standards, but their technology integration is inconsistent and often limited to platforms designed for settlement agencies. What makes this research unique is its deep analysis of both Canadian and international assessment frameworks (CLB, NCLC, CEFR, PIAAC) and its focus on technology’s promise for personalization, digital equity, and bridging the “digital divide,” particularly in smaller communities and among vulnerable newcomers.
What did the researchers find?
Key highlights and outcomes include:
Access to language training is limited, especially in smaller and remote communities, creating barriers for newcomers.
Language training results are uneven. Many qualified immigrants still struggle with employment despite language acquisition, often due to issues beyond language such as recognition of credentials, workplace norms, and bias.
Technology-enabled tools (AI chatbots, mobile apps, multimedia, VR/AR, online collaboration) offer substantial promise, but full-scale integration is rare in core curricula.
Surveys indicate rising comfort and trust among immigrants in using machine translation tools, with 80% reporting improvement in second-language knowledge and 52% believing technology will reduce barriers. Immigrants are twice as likely as Canadian-born users to trust machine translation in the workplace and healthcare settings.
Case studies like the Ismaili Council’s English Language Connections program show successful online language learning and training for regions with limited access, with 78% of participants improving grammar and 48% advancing grade levels.
Particularly interesting themes and outlier findings
Employment-focused language training links to better job outcomes and greater practical language use than general training, but outcomes still vary by demographic, class structure (e.g., multi-level vs. single-level), and program flexibility.
Continuous intake classes, a common effort to boost participation, can disrupt learning progress, with 92% of instructors agreeing that catching up is much harder in such models.
Wraparound supports (childcare, transportation, flexible scheduling) are essential; long wait-lists disproportionately affect women and single parents, especially for in-person programs.
While technology increases reach and flexibility, digital inequities remain, and evaluation of technology’s direct impact on language outcomes is sparse and fragmented.
How can you use this research?
For policymakers:
Develop a coordinated national strategy for integrating technology in language training, sharing research, digital platforms, and evaluation tools.
Invest in digital infrastructure and wraparound supports to ensure equitable access and enhance program sustainability.
For newcomer organizations and instructors:
Prioritize outcome-based curricula, personalized learning, and technology adoption, with consistent evaluation of learner experiences via surveys, interviews, and focus groups.
Empower learners with skills for self-directed digital learning, and provide guidance on safe and productive technology use.
For academia and future research:
Expand systematic, longitudinal evaluation of technology-enabled language training for different demographics; bridge gaps in measuring outcomes like proficiency gain, employment integration, and return on investment.
What did the researchers do?
The methodology is a multi-method, multi-stakeholder review coordinated by the Diversity Institute for the Future Skills Centre. Activities include:
Surveys (e.g., a detailed survey of 1,000 Quebec residents on machine translation use and trust, with breakouts by language background).
Focus groups and interviews with participants, instructors, and other stakeholders to evaluate experiences, preferences, and program efficacy.
Case studies of specific programs and organizations (e.g., LINC, CLIC, Francisation Quebec, English Language Connections), including participant numbers and regions served (i.e., ELC’s expansion to 2,000 learners across several countries).
Review of administrative and census data to frame the diverse contexts in which Canadian language learning occurs.
This research investigates how technology-enabled innovations can enhance language learning programs for newcomers to Canada, especially as language skills become increasingly vital for successful social and economic integration in a rapidly diversifying nation.
